Is there a Groovy way to update SQL rows? - sql

I'm in the process of converting a Groovy script that updated a document from a MongoDB and saved it into MongoDB using the save method doc.save().
Now I want to use a SQL database using groovy.sql on the Crate Database but cannot use the ResultSet.CONCUR_UPDATABLE trick as mentioned in Question Updating SQL from object with groovy from 2013 (Crate does not support it).
Is there another "Groovy" way of storing an updated row (from a single table) into an SQL database? What I'm looking for is something like row.update() or an algorithm that constructs an UPDATE sql command from a GroovyRowResult or Map.

Related

Write non-SQL dataset to SQL table in DataIku

I dont seem to find a way to write the output from a previous step in the flow into a SQL table, using the SQL recipes. When I read the documentation, it seems both types of SQL action can only take as an input a SQL dataset? This cant be write, as you would imagine you would want to create datasets in the flow and then commit them to a database?
https://doc.dataiku.com/dss/latest/code_recipes/sql.html
In the docs above, it describes In\Out parameters as needing to be SQL.
Indeed, it doesn't seem possible with a SQL recipe which executes fully in the database.
That being said you can probably use a sync recipe to put your non-SQL dataset in your SQL db so that you can execute a SQL recipe.

Migrate data from SQL Server to PostgreSQL

I have a stored procedure function as well as table in the SQL Server enterprise 2014. I also have data in the table. Now I need same table and data in PostgreSql(pgAdmin4).
Can anyone suggest to me the idea to migrate data to POSTGRESQL or any idea on creating the SQL script so that I can use psql to run the script?
Depending on how much data you have, you could script out the table and data. Then you could tweak the script as needed for PostgreSQL:
Right click on the SQL database > Tasks > Generate Scripts
On the "Choose Objects" screen, select your specific table then select "Next>"
On the "Set Scripting Options" screen, select "Advanced"
Find the option called "Types of data to script", then select "Schema and data" and select "OK"
Set the filename and continue through the dialog until the file is generated
Tweak the sql script for any specific PostgreSQL syntax
If there is a larger amount of data, you might look into some type of data transfer tool like SSIS.
Exporting the table structure and data as Josh Jay describes will likely require some fixes where the syntax doesn't match, but it should be doable if not tedious. Luckily there are existing conversion tools available to help.
You could also try using a foreign data wrapper to map the tables in SQL Server to a running instance of PostgreSQL. Then it's just a matter of copying tables. Depends on your needs and where each database server is located relative to one another.
The stored procedures will be far more difficult to handle unfortunately. While Oracle's pl/sql language is substantially similar to PostgreSQL's pl/pgsql, MS SQL Server/Sybase's TransactSQL dialect on the other hand is different enough to require rewrites. If the TransactSQL functions also access .Net objects, the migration task may end up far more difficult as you reimplement dependencies or find logical equivalents.

How to insert R dataframe into existing table in SQL Server

After trying a few different packages and methods found online, I am yet to find a solution that works for inserting a dataframe from R into an existing table in SQL Server.
I've had great success doing this with MySQL, but SQL Server seems to be more difficult.
I have managed to write a new table using the DBI package, but I can't find a way to insert into using this method. Looking at the documentation, there doesn't seem to be a way of inserting.
As there are more than 1000 rows of data, using sqlQuery from the RODBC package also seems unfeasable.
Can anybody suggest a working method for inserting large amounts of data from a dataframe into an existing SQL table?
I've had similar needs using R and PostGreSQL using the r-postgres-specific drivers. I imagine similar issues may exist with SQLServer. The best solution I found was to write to a temporary table in the database using either dbWriteTable or one of the underlying functions to write from a stream to load very large tables (for Postgres, postgresqlCopyInDataframe, for example). The latter usually requires more work in terms of defining and aligning SQL data types and R class types to ensure writing, wheres dbWriteTable tends to be a bit easier. Once written to a temporary table, to then issue an SQL statement to insert into your table as you would within the database environment. Below is an example using high-level DBI library database calls:
dbExecute(conn,"start transaction;")
dbExecute(conn,"drop table if exists myTempTable")
dbWriteTable(conn,"myTempTable",df)
dbExecute(conn,"insert into myRealTable(a,b,c) select a,b,c from myTempTable")
dbExecute(conn,"drop table if exists myTempTable")
dbExecute(conn,"commit;")

Microsoft SQL Server: How to export data from a database and import them to another database?

How can I export all of my rows in a table to sql script in Microsoft SQL Server 2005 and then import them to another database?
Thanks in advance
If you moving it to another sql db you can right click the database you want and choose tasks -> generate scripts. That will launch a a wizard - follow along, choose the option to script all tables and data. Then execute that script in the new db(assuming that you've already created one with the same name)
If you can't find a data import/export tool that will work in your particular circumstances, it's possible to write plain SQL SELECT queries that will generate SQL INSERT statements. In this way it's possible to "export" all your data to a script file that can be run against the destination database. It's kind of an ugly hack, but it's simple and it works if you don't have a lot of data to move. See my answer to this question for details: Export SQL Server 2005 query result to SQL INSERT statement?
Note that this method assumes that the destination table already exists. But it's pretty straightforward to generate table creation scripts, as J Cory's answer has already shown.
There's a command line tool available to dump your data from particular tables into a SQL script that be executed against a different database:
http://blog.sqlauthority.com/2007/11/16/sql-server-2005-generate-script-with-data-from-database-database-publishing-wizard/
I don't believe SQL Management Studio Express supports data scripting (as your screenshot on J Cory's answer shows), but the full version does support that feature. In either case, the command line tool should accomplish what you need.

How to do a search and replace of a part of a string in all columns in all tables in an sql database

Is it possible to search and replace all occurrences of a string in all columns in all tables of a database? I use Microsoft SQL Server.
Not easily, though I can thing of two ways to do it:
Write a series of stored procedures that identify all varchar and text columns of all tables, and generate individual update statements for each column of each table of the form "UPDATE foo SET BAR = REPLACE(BAR,'foobar','quux')". This will probably involve a lot of queries against the system tables, with a lot of experimentation -- Microsoft doesn't go out of its way to document this stuff.
Export the entire database to a single text file, do a search/replace on that, and then re-import the entire database. Given that you're using MS SQL Server, this is actually the easier approach. Microsoft created the Microsoft SQL Server Database Publishing Wizard for other reasons, but it makes a fine tool for exporting all of the tables of a SQL Server database as a text file containing pure SQL DDL and DML. Run the tool to export all of the tables for a database, edit the resulting file as you need, and then feed the file back to sqlcmd to recreate the database.
Given a choice, I'd use the second method, as long as the DPW works with your version of SQL Server. The last time I used the tool, it met my needs (MS SQL Server 2000 / 2005) but it had some quirks when working with database Roles.
In MySQL, you can do it very easily like this:
update [table_name] set [field_name] = replace([field_name],'[string_to_find]','[string_to_replace]');
I have personally tested this successfully on a production server.
Example:
update users set vct_filesneeded = replace(vct_filesneeded,'.avi','.ai');
Ref: http://www.mediacollege.com/computer/database/mysql/find-replace.html
A good starting point for writing such a query is the "Search all columns in all the tables in a database for a specific value" stored procedure. The full code is at the link (not trivial, but copy/paste it and use it, it just works).
From there on it's relatively trivial to amend the code to do a replace of the found values.